CVE-2025-23264 and CVE-2025-23265: About NVIDIA Megatron-LM (25-06-2025)

Preface: What Does “Linear” Mean in Machine Learning? In the context of machine learning and neural networks:

A linear function is one where the relationship between inputs and outputs can be represented as a straight line (in 2D), or more generally, a hyperplane in higher dimensions.

Background: NVIDIA Megatron-LM is an open-source framework designed for training large transformer models, particularly those with billions of parameters, across distributed GPU architectures. It leverages techniques like tensor and pipeline parallelism to enable efficient training of these massive models.

* Pipeline parallelism is when different stages of a process are executed in separate devices simultaneously. For instance, in the context of Machine Learning, various layers of a model can be distributed across different devices to create a pipeline.

Vulnerability details:

CVE-2025-23264: NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability may lead to Code Execution, Escalation of Privileges, Information Disclosure and Data Tampering.

CVE-2025-23265: NVIDIA Megatron-LM for all platforms contains a vulnerability in a python component where an attacker may cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability may lead to Code Execution, Escalation of Privileges, Information Disclosure and Data Tampering.

Official announcement: Please see the link for details – https://nvidia.custhelp.com/app/answers/detail/a_id/5663

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